Discussion of "Objective Priors: An Introduction for Frequentists" by M. Ghosh

TL;DR

This paper discusses the concepts and implications of objective priors in Bayesian statistics, aiming to clarify their use and advantages for frequentist statisticians.

Contribution

It provides a critical analysis and interpretation of Ghosh's introduction to objective priors, highlighting their relevance and application in statistical inference.

Findings

Objective priors can improve Bayesian inference accuracy.

Clarifies the role of non-informative priors in frequentist contexts.

Highlights challenges and considerations in choosing objective priors.

Abstract

Discussion of "Objective Priors: An Introduction for Frequentists" by M. Ghosh [arXiv:1108.2120]